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Computers and Chemical Engineering

Resumen/Descripción – provisto por la editorial en inglés
Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems. Several major areas of study are represented in the journal, including:

• Modeling, numerical analysis and simulation
• Mathematical programming (optimization)
• Cyberinfrastructure, informatics and intelligent systems
• Process and product synthesis/design
• Process dynamics, control and monitoring
• Abnormal events management and process safety
• Plant operations, integration, planning/scheduling and supply chain
• Enterprise-wide management and technology-driven policy making
• Domain applications (molecular, biological, pharmaceutical, food, energy, and environmental systems engineering)

Also, general papers on process systems engineering are welcome as well as emerging new areas and topics not covered above.

Articles published cover different aspects of the application of process systems engineering to one or more of the general areas listed above, including new applications of established methods, comparisons of alternative methodologies, descriptions of state-of-the-art industrial applications and significant developments in computing targeted at training/education. Reports of software implementation must feature novel uses of state-of-the-art computing technologies. Computers & Chemical Engineering publishes full-length articles, perspective papers, journal reviews, short notes and letters to the editor.

Online article submission now available via: http://ees.elsevier.com/cace

Comments and Proposals: We are interested in receiving comments/feedback on this and our other journals and welcome publication proposals for books, electronic products, new journals and co-operation for existing journals.
Palabras clave – provistas por la editorial

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Disponibilidad
Institución detectada Período Navegá Descargá Solicitá
No detectada desde ene. 1977 / hasta dic. 2023 ScienceDirect

Información

Tipo de recurso:

revistas

ISSN impreso

0098-1354

ISSN electrónico

1873-4375

Editor responsable

Elsevier

País de edición

Reino Unido

Fecha de publicación

Cobertura temática

ingenieria-quimica

Ingeniería química

Tabla de contenidos

doi: 10.1016/0098-1354(91)85014-l

Simultaneous strategies for data reconciliation and gross error detection of nonlinear systems

I.B. Tjoa; L.T. Biegler

Palabras clave: General Chemical Engineering; Computer Science Applications.

Pp. 679-690

doi: 10.1016/0098-1354(93)80092-2

A method to incorporate bounds in data reconciliation and gross error detection—I. The bounded data reconciliation problem

S. Narasimhan; P. Harikumar

Pp. 1115-1120

doi: 10.1016/0098-1354(93)80093-3

A method to incorporate bounds in data reconciliation and gross error detection—II. Gross error detection strategies

P. Harikumar; S. Narasimhan

Pp. 1121-1128

doi: 10.1016/s0098-1354(00)00626-8

A new approach for improved identification of measurement bias

Sriram Devanathan; Derrick K. Rollins; Stephen B. Vardeman

Pp. 2755-2764

doi: 10.1016/j.compchemeng.2003.07.001

Theory and practice of simultaneous data reconciliation and gross error detection for chemical processes

Derya B. Özyurt; Ralph W. Pike

Palabras clave: General Chemical Engineering; Computer Science Applications.

Pp. 381-402

doi: 10.1016/j.compchemeng.2004.07.008

Gross error identification for dynamic system

Mingfang Kong; Bingzhen Chen; Xiaorong He; Shanying Hu

Palabras clave: General Chemical Engineering; Computer Science Applications.

Pp. 191-197

doi: 10.1016/j.compchemeng.2006.02.008

State-of-the-art review of optimization methods for short-term scheduling of batch processes

Carlos A. Méndez; Jaime Cerdá; Ignacio E. Grossmann; Iiro Harjunkoski; Marco Fahl

Pp. 913-946

doi: 10.1016/j.compchemeng.2011.12.004

A framework for model-based optimization of bioprocesses under uncertainty: Lignocellulosic ethanol production case

Ricardo Morales-Rodriguez; Anne S. Meyer; Krist V. Gernaey; Gürkan Sin

Pp. 115-129

doi: 10.1016/j.compchemeng.2015.03.015

Supply chain design and optimization: Challenges and opportunities

Daniel J. GarciaORCID; Fengqi YouORCID

Palabras clave: General Chemical Engineering; Computer Science Applications.

Pp. 153-170

doi: 10.1016/j.compchemeng.2015.06.002

Combined use of MILP and multi-linear regression to simplify LCA studies

Janire Pascual-González; Carlos Pozo; Gonzalo Guillén-Gosálbez; Laureano Jiménez-Esteller

Palabras clave: Computer Science Applications; General Chemical Engineering.

Pp. 34-43